Towards the Integration of IoT, Cloud and Big Data (eBook, PDF)

Services, Applications and Standards
Redaktion: Rishiwal, Vinay; Malarvizhi Kumar, Priyan; Tomar, Anuradha; Kumar, Pramod

• Format: PDF

Produktbeschreibung

This book discusses integration of internet of things (IoT), cloud computing, and big data. It presents a unique platform where IoT, cloud computing, and big data are fused together and can be foreseen as a perfect solution to many applications. Usually, IoT, cloud computing, and big data are researched separately on the basis of their properties, underlying technologies, and other open issues. Integration of IoT, cloud computing and big data is not that easy and can face key open issues like standardization of interfaces, power and energy efficiency in both data processing and transmission, security and privacy, storage mechanisms for future applications, scalability and flexibility, and QoS provisioning for end user applications. Integration of IoT, cloud computing, and big data represents the next big rise for future industry and business applications. This integration opens new exhilarating directions for research and it is discussed in this book.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 154
• Erscheinungstermin: 23. Oktober 2023
• Englisch
• ISBN-13: 9789819960347
• Artikelnr.: 69203159

Autorenporträt

Dr. Vinay Rishiwal, PhD is working as a Professor in the Department of Computer Science and Information Technology, Faculty of Engineering and Technology, MJP Rohilkhand University, Bareilly, Uttar Pradesh, India. He obtained B.Tech degree in Computer Science and Engineering in the year 2000 from MJP Rohilkhand University (SRMSCET), India and received his PhD in Computer Science and Engineering from Gautam Buddha Technical University, Lucknow, India, in the year 2011. He has 23 years of experience into academics. He is a senior member of IEEE, ACM and worked as Convener, Student Activities Committee, IEEE Uttar Pradesh Section, India. He has published more than 90 research papers in various journals and conferences of international repute. He also has 20 patents into his credit. He is a General/Conference chair of four International Conferences namely ICACCA, IoT-SIU, MARC 2020 and ICAREMIT. He has received many awards as best paper/research/orator at various platforms. Dr. Rishiwal has visited many countries for academic purposes and worked upon many projects of CST, UP Government, MHRD and UGC. His current research interest includes Wireless Sensor Networks, IoT, Cloud Computing, Social networks and Blockchain Technology. Prof (Dr.) Pramod Kumar Prof. Dr. Pramod Kumar is an accomplished academic leader with over 24 years of experience in the field. He currently serves as the Dean of Academics at Glocal University in Saharanpur, UP, where he has been since September 2022. Prior to this, he held the position of Dean of Computer Science and Engineering at Krishna Engineering College in Ghaziabad and served as the director of Tula's Institute in Dehradun, Uttarakhand. Prof. Pramod Kumar holds a Ph.D. in Computer Science and Engineering, which he earned in 2011, as well as an M.Tech in CSE from 2006. He is a Senior Member of IEEE and an Ex-Joint Secretary of the IEEE U.P. section. Through his research, he has made significant contributions to the fields of Computer Networks, IoT, and Machine Learning. He is the author or co-author of more than 70 research papers and has edited four books. He has also supervised and co-supervised several M.Tech and Ph.D. students. Dr. Anuradha Tomar is currently working as an Assistant Professor in the Instrumentation & Control Engineering Division of Netaji Subhas University, Delhi, India. Dr. Tomar has completed her Postdoctoral research in EES, from Eindhoven University of Technology (TU/e), the Netherlands. She received her B.E Degree in Electronics Instrumentation & Control with Honours in the year 2007 from the University of Rajasthan, India. In the year 2009, she completed her M.Tech Degree with Honours in Power Systems from the National Institute of Technology Hamirpur. She received her Ph. D in Electrical Engineering, from the Indian Institute of Technology Delhi (IITD), India. Dr. Anuradha Tomar has committed her research work efforts towards the development of sustainable, energy-efficient solutions for the empowerment of society, and humankind. Her areas of research interest are the Operation & Control of Microgrids, Photovoltaic Systems, Renewable Energy based Rural Electrification, Congestion Management in LV Distribution Systems, Artificial Intelligent & Machine Learning Applications in Power Systems, Energy conservation, and Automation. Priyan Malarvizhi Kumar is presently employed as an Assistant Professor at the University of North Texas in the United States. Before joining this role, he served as an Assistant Professor in the Department of Computer and Information Science at Gannon University, USA. Prior to his tenure at Gannon University, he held the position of Assistant Professor in the Computer Science and Engineering Department at Kyung Hee University in South Korea. Additionally, he gained valuable experience as a Postdoctoral Research Fellow at Middlesex University in London, UK.Dr. Kumar earned his Ph.D. degree from Vellore Institute of Technology University. His academic journey also includes a Bachelor of Engineering degree from Anna University and a Master of Engineering degree from Vellore Institute of Technology University. Dr. Kumar's current research focuses on areas such as Big Data Analytics, Internet of Things (IoT), Internet of Everything (IoE), and Internet of Vehicles (IoV) in the context of healthcare. He has authored and co-authored papers published in international journals and conferences, including those indexed by the Science Citation Index (SCI). He maintains a lifetime membership with the International Society for Infectious Disease, the Computer Society of India, and is an active member of the Vellore Institute of Technology Alumni Association.

Inhaltsangabe

Introduction to Big Data Analytics.- DCD_PREDICT: Using Big Data on Prediction Forchest Diseases by Applying Machine Learning Algorithms.- Design of Energy Efficient IOMT Electrocardiogram (ECG) Machine on 28 Nm FPGA.- Automatic Smart Irrigation Method for Agriculture Data Artificial Intelligence Based Plant Disease Detection.- IoT Equipped Intelligent Distributed Framework for Smart Healthcare Systems.- Adaptive Particle Swarm Optimization for Energy Minimization in Cloud: A Success History Based Approach.- Field Monitoring and Automation in Agriculture Using Internet of Things (IoT).